code: def _make_resnet_backbone(resnet):
      pretrained = nn.Module()
      pretrained.layer1 = nn.Sequential(
          resnet.conv1,
          resnet.bn1,
          resnet.relu,
          resnet.maxpool,
          resnet.layer1,
      )
  
      pretrained.layer2 = resnet.layer2
      pretrained.layer3 = resnet.layer3
      pretrained.layer4 = resnet.layer4
  
      return pretrained
  
imports: import torch
  import torch.nn
  from .vit import _make_pretrained_vitb_rn50_384, _make_pretrained_vitl16_384, _make_pretrained_vitb16_384, forward_vit
label_desc: Use image node_id 5 for calling a global function with example usage: _make_resnet_backbone(resnet) and returns: pretrained